{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "abca0013",
   "metadata": {},
   "source": [
    "# 标记\n",
    "您可以使用关键字参数maker，用指定的标记强调每个点："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "67bc69ab",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "fecc66b7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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4DicFbjKpJ8qYtWwHIQHevDt7KEG+nkZHsrmu7f148PI4tqQUsGpXrtFxhBN7ZWMaHm6KP43uYXQUQ0iBm8jRokqmL96Gp7sb780ZRgcnWZzKHmZcFMngbm156vP9nCitNjqOcELp+eWs2Z3LLRd1c+n/C+ciBW4SBWU1TF+8japaCyvmDHX5N2vc3BTPT0ugpt7KY5/sk6kU8Rsvb0jFx9OdOy5tnaNvkAI3hdLqOmYs2c7x0mqWzhrSas4yiwoN4IEJsWw4eILP9uYZHUc4kYPHSvki6RizLo6kfYC30XEMIwXu5KrrLNy6PJHUE2W8efMgBnVz3sWp7GHOyCj6RwTz5Gf7KSirMTqOcBIvrU8l0NuDP46KMjqKoVpU4EqpYKXUSqXUIaXUQaXURbYKJqDOYuXu/+xiR1YRL17fj9Fxzr84la25uykWTEugosbCE5/tMzqOcALJOSWsO3CCW0dFOcUVpozU0hH4K8A3WuueQD/gYMsjCWhYnOqhlUlsOJjPU1f34Zr+5licyh5iOgYyd1wMXyUf56vkY0bHEQZ7cX0KwX6ezB4ZaXQUwzW7wJVSQcAlwGIArXWt1rrYRrlaNa01f//yIKt35zJvfCzTL4o0OpLhbr8kivjwIP6yZh9FFbVGxxEG2XnkFFtSCrj9kh4E+rjeIbQXqiUj8O5AAbBUKbVbKfWOUuo31+1SSt2mlEpUSiUWFBS0YHOtx+ub01nyw2FmjohslWeXnYmHuxsLrkugtLqOJz/bb3QcYZCF61MICfBixohuRkdxCi0pcA9gIPCG1noAUAE8fPqDtNaLtNaDtdaDQ0NDW7C51mHFz0d4YV0q1w4I5/FJvU27OJU99OzUhrsvi+GzvXms23/c6DjCwX7KOMkP6Se549Ie+Hl5GB3HKbSkwHOAHK31tsaPV9JQ6KKZPt+bx+Of7mNszw48Py3B9ItT2cOfLutBr85teGzNPoorZSqltdBas3B9Ch3beHPzcBl9/1ezC1xrfRw4qpSKa7xrLHDAJqlaoW9TC5j30R6GdGvH638Y6DKLU9map7sbC6YlcKqilqe+kG+31mJrWiE7sk5x92XR+Hi6zto/LdXSlrgH+LdSKgnoDzzd4kSt0M4jp7hjxU6iOwTy9ozB8g16Hn3Dg7hzdA9W78pl06ETRscRdqa1ZuG6FMKDfbl+SITRcZxKiwpca72ncX47QWs9WWt9ylbBWouU42XMXraDjm1cd3Eqe7h7TDSxHQN4dPU+SqvrjI4j7GjjwXz25pRw79hovD1kcPNL8nu6gf67OJWPpxsr5gwjNLD1nhJ8obw93FkwrR/5ZdX84ws5/cBVWa2aF9en0q29H1MGdjE6jtORAjdIflk1Ny/eRk29lXdnDyOinWsvTmUP/SKCue2SHnyYeJStqXKIqiv6Zv9xDh4r5b5xMfK+0BnIv4gBSqrqmLFkB/mlNSyZOYS4ToFGRzKt+8bF0CPUn0dWJ1NeU290HGFDFqtm4fpUojsEcHW/1nsm8rlIgTtYVa2FW5fvID2/jDenD2JQt7ZGRzI1H093np/Wj7ySKp79WqZSXMnne/NIzy/n/nGxuMshtWckBe5AdRYrd/1nF4lHTrHw+v5cGisnNtnCoG5tmX1xd977OZsfMwqNjiNsoN5i5eUNqfTsFMjv+nYyOo7TkgJ3EKtV8+DKJDYdyudv1/Tlqn5hRkdyKX+eEEdkez8eXpVMZa1MpZjd6l25ZJ2sZN74WDmh7RykwB1Aa81TXxzgk925/HlCrJxJZge+Xu48NzWB7KJKnv8mxeg4ogVq6628sjGNhC5BjO/d0eg4Tk0K3AH+uSmdZT9mMWdkd+66TBanspdhUe2ZcVE3lv+UxY6sIqPjiGb6KPEoucVVzBsfK2sBnYcUuJ2t+CmLhetTmTqwC49d0Uu+Ie3swct70qWtLw+uTKKq1mJ0HHGBqussvLYpncHd2sp7RE0gBW5Hn+7J5fHP9jOuV0eemxovc3kO4O/twXNTEjhcWMHC9TKVYjb/2ZbN8dJq5k2Q0XdTSIHbyeaUfB74aC9DItvx2k0D8JCTEBxmRHQINw3ryuLvD7MrW1Z3MIvK2nr+tSWdi6LaM6JHiNFxTEFaxQ52Hinizvd2EtcpkHdkcSpDPPK7nnRq48P8j/dSXSdTKWbw7k9HKCyv5YEJsUZHMQ0pcBs7eKyUWUt30DnIl+Wzh9JGLvtkiEAfT56ZmkBGQQWvbEwzOo44j7LqOt76NoNLY0MZHNnO6DimIQVuQ9knK7llyXb8vDxYMWcoIQGyOJWRLo0N5frBXVi0NZOknGKj44hzWPpDFqcq65g3XkbfF0IK3EbySxsWp6qzWFkxZyhd2sriVM7gsSt7ExLgxfyPk6ipl6kUZ1RSWcfb32UyvndH+kUEGx3HVKTAbaCkso5blmynsLyGpTOHENNRFqdyFkG+njwzJZ6UE2W8vind6DjiDN7+LpOy6noZfTeDFHgLVdVamLN8BxkF5bw1fRADusriVM5mTM+OTBkQzr+2ZLA/r8ToOOIXiipqWfrDYa5M6Eyvzm2MjmM6UuAtUGexcue/d7Iz+xSv3DCAUTFy4oGzevyq3rT1b5hKqbNYjY4jGr31bQZVdRbuHxdjdBRTkgJvJqtV8+eP97IlpYCnr43nivjORkcS5xDs58XfJ/flwLFS3tySYXQcQcNFTZb/lMU1/cOJ7iDTjs0hBd4MWmv++vl+Pt2Tx4OXx3Hj0K5GRxJNMLFPJyYldObVTWmkHC8zOk6r96/NGdRZNHPHyui7uaTAm+HlDWks/+kIfxzVnTsv7WF0HHEB/np1H9r4eDJ/5V7qZSrFMHnFVfxnWzbTBnYhMsTf6DimJQV+gZb9cJhXNqZx3aAuPCqLU5lO+wBv/npNH5JySnj7u8NGx2m1XtucjkZzz1hZnbMlpMAvwJrduTz5+QEm9O7IM1PipbxN6sr4zlzepxMvbUglPb/c6DitztGiSj7acZQbhnSV8yVaSAq8iTYdOsGfP97L8Kh2vHqjLE5lZkop/ja5L35e7sxfuReLVRsdqVV5ZWMabm5K1sa3AWmhJtiRVcSd7+2iV+c2vH2LLE7lCkIDvXnyqj7szi5m6Q8yleIomQXlrN6Vw/Th3egU5GN0HNOTAj+PA3mlzF62g/BgX5bNGkKgLE7lMq7pH8a4Xh1YsDaFw4UVRsdpFV7ekIa3hzt3jpY3/21BCvwcsgoruGXJdgK8PVhx6zDay+JULkUpxT+ujcfbw42HViZhlakUu0o5XsbnSXnMvDhSFnqzESnwszjRuDiVxdqwOFV4sK/RkYQddGzjw18m9WZ7VhHv/pRldByX9vKGVPy9PLhtVJTRUVyGFPgZFFfWcsvi7ZyqqGXZrKFylpiLmzaoC6PjQnnumxSyT1YaHccl7cst4et9x5k9sjtt/b2MjuMypMBPU1lbz+xlOzhcWMGiWwbL8patgFKKp6+Nx91N8dAqmUqxh5fWpxLk68mckd2NjuJSpMB/obbeyh3v7WLP0WJevbE/F0fLdflai7BgXx67shc/ZZ7k/R3ZRsdxKbuzT7HxUD63XRJFkK8cBGBLUuCNLFbNvI/2sDW1gGemxHN5X1mcqrW5YUgEI6NDeOarQ+QWVxkdx2UsXJ9KO38vZo6INDqKy5ECp2Fxqic+28cXScd4+Hc9+f0QWZyqNVJK8cyUeKxa8/CqJLSWqZSW2pZ5ku/SCrnz0h74e3sYHcflSIHTMD/33s/Z3H5pFHfI4lStWkQ7Px75XU++Syvk48Qco+OYmtaaF9enEhrozc3DuxkdxyW1+gJf8v1hXt2Uzu8HR/Dw5T2NjiOcwB+GdWNY93b87csDHC+pNjqOaf2QfpLth4u4+7JofL3k7GV7aHGBK6XclVK7lVJf2CKQI63elcNTXxzg8j6d+Me1fWVxKgGAm5viuakJ1FmsPPpJskylNEPD6DuFsCAfbhgaYXQcl2WLEfhc4KANnsehNhw4wfyVSYzo0Z6Xb+gvi1OJX4kM8Wf+xJ5sOpTPJ7tzjY5jOptT8tmdXczdY2Lw9pDRt720qLWUUl2AK4F3bBPHMbZlnuSu/+yiT1gbFsniVOIsZo6IZFC3tvz18wPkl8pUSlNprXlxXSpd2/lx3eAuRsdxaS0ddr4MPAic9dImSqnblFKJSqnEgoKCFm6u5fbllnDr8kS6tPVl2ayhBMg74+Is3N0Uz09LoLrOwv+s2SdTKU20dv9x9ueVcu/YGDzlN1u7ava/rlJqEpCvtd55rsdprRdprQdrrQeHhhp71fbDhRXMXLqdQB8PVswZRjs5pVecR4/QAOaNj2XdgRN8nnTM6DhOz2rVvLQ+jahQfyb3DzM6jstryY/Hi4GrlVJZwAfAGKXUezZJZQfHS6q5+Z1tWDWsuHUYYbI4lWiiW0dF0S8imCc+3UdheY3RcZzaF8nHSDlRxn3jYuV9JQdo9r+w1voRrXUXrXUkcAOwSWt9s82S2VBxZS3TF2+juLKW5bOG0iM0wOhIwkTc3RQvTEugosbCE5/uNzqO06q3WHl5fSpxHQOZFC9nMjuCy/+IrKipZ+bSHRwpquTtGYOJ7xJkdCRhQjEdA5k7LoYvk4/xdbJMpZzJmj15ZBZWcP/4WNzc5JBcR7BJgWutt2itJ9niuWyppt7CHe/tJCmnmH/eOIARPWRxKtF8t10SRd/wNvzl030UVdQaHcep1FmsvLIxlb7hbZjYp6PRcVoNlx2BW6yaeR/u5bu0Qp6dmsDEPp2MjiRMztPdjQXT+lFSVcdTn8tUyi99nJjD0aIqHhgfJyfEOZBLFrjWmr98uo8vk4/x2BW9uH6wnAkmbKNX5zbcdVk0a/bkseHACaPjOIXqOgv/3JTGgK7BjI4z9kiz1sYlC/yFdSn8Z1s2d47uwR8vkcs3Cdv60+hoenYK5NFPkimprDM6juE+2J7NsZJqGX0bwOUK/J3vMnl9cwY3Do3gwYlxRscRLsjLw40XruvHyYpa/vblAaPjGKqq1sLrWzIY1r0dF0e3NzpOq+NSBb5yZw5///IgV8R34u+T42U0IOymb3gQd17ag5U7c9ickm90HMO89/MRCspqeGCCjL6N4DIFvm7/cR5alcTI6BBe+n1/3OUwJmFn94yNJrZjAI+uTqa0uvVNpZTX1PPGtxmMiglhaPd2RsdplVyiwH/KOMnd7++mb3gQb00fJKufCYfw9nDn+Wn9OFFazTNfmW5BzhZb/mMWRRW1PDBBpiqNYvoC35dbwh/fTaRrOz+WzRwil20SDtU/Ipg/jori/e1H+T6t0Og4DlNSVcdb32YwtmcH+kcEGx2n1TJ1gWcWlDNjyXaCfD1ZMWcobWVxKmGA+8fHEhXiz0OrkiivqTc6jkMs/v4wpdX13D8+1ugorZppC/xYSRXTF28HYMWcoXQOksWphDF8PN1ZcF0CeSVVPPf1IaPj2N2pilqWfH+Y3/XtRN9wWZrCSKYs8KKKWqYv3k5JVR3LZw8lShanEgYb1K0ds0Z0Z8XPR/gp46TRcezqra2ZVNTK6NsZmK7Ay2vqmbV0O9lFlbwzY7CMAITTmD8xjm7t/XhoVRKVta45lVJQVsPyH7O4ul8YsR0DjY7T6pmqwGvqLdy+IpF9eaW8ftNAhkfJiQPCefh6ufPc1ASyiypZsDbF6Dh28caWDGrqLcwdG2N0FAE4/SEba3bnsmBtCnnFVXh7ulFdZ+XF6/oxvreseCacz/Co9txyUTeW/ZjFlfGdGRzpOsdHHy+p5r1tR5g6sItMWzoJpx6Br9mdyyOrk8ktrkID1XVWPN2VnKQjnNpDl/ckPNiXB1cmUV1nMTqOzby+OR2rVXOvjL6dhlMX+IK1KVSd9h+gzqJd9tdT4Rr8vT14bmoCmYUVvLQ+1eg4NpFzqpIPdmRz/ZAIItr5GR1HNHLqAs8rrrqg+4VwFhdHh3Dj0K68/V0mu7NPGR2nxf65MR2lFPeMiTY6ivgFpy7ws114WC5ILMzg0St60qmNDw+uTKKm3rxTKVmFFazclcNNQ7vK+RZOxqkLfP7EOHw9f72uia+nO/NlmVhhAoE+njwzNYG0/HJe3ZhmdJxme2VjGp7uij9d1sPoKOI0Tl3gkweE88yUeMKDfVFAeLAvz0yJZ/KAcKOjCdEkl8aGct2gLrz5bSbJOSVGx7lgaSfKWLMnlxkXRdIh0MfoOOI0Tn8Y4eQB4VLYwtT+Z1JvtqYVMH/lXj67eyReHk49bvqVlzek4efpzu2XyujbGZnnO0kIkwry9eTpa+M5dLyM1zenGx2nyQ7klfJl8jFmj+xOO1kozilJgQvhAGN7dWRy/zBe35zOgbxSo+M0yUsbUgn08eDWkXJdWWclBS6EgzxxVR+C/byYv3IvdRar0XHOae/RYtYfOMFto6II8vM0Oo44CylwIRykrb8Xf5/ch/15pbz1bYbRcc5p4fpU2vp5Mmtkd6OjiHOQAhfCgS7v25krEzrz6sZ0Uk+UGR3njBKzivg2tYDbL+1BgFzhyqlJgQvhYE9d3YcAHw/mf7yXeiecSnlxXSohAd7cclE3o6OI85ACF8LB2gd489er+7A3p4TF3x82Os6v/JheyE+ZJ/nT6B74ecno29lJgQthgEkJnZnYpyMvrk8lo6Dc6DgAaK15cX0qndr4cNOwrkbHEU0gBS6EAZRS/G1yX/y83HlwZRIWqzY6Et+mFrDzyCnuHhONz2lLWAjnJAUuhEE6BPrwxFW92XnkFMt+zDI0i9aahetT6dLWl+sHRxiaRTSdFLgQBprcP5yxPTuwYO0hsgorDMux/sAJknJKuHdsjKlO9W/t5JUSwkBKKf5xbTye7m48uCoJqwFTKVZrw+i7e4g/U2TdIVORAhfCYJ2CfPjLpN5sP1zEe9uOOHz7X+07xqHjZcwdG4OHu1SCmcirJYQTuG5QFy6JDeXZrw9xtKjSYdu1WDUvrU8lpkMAV/ULc9h2hW00u8CVUhFKqc1KqQNKqf1Kqbm2DCZEa6KU4tkp8bgpxcOrk9DaMVMpn+7JJaOggvvHx8rFwk2oJSPweuABrXVvYDhwl1Kqt21iCdH6hAX78ugVvfgh/STvbz9q9+3VWay8sjGN3p3bcHmfTnbfnrC9Zhe41vqY1npX4+0y4CAg74AI0QI3Do3g4uj2PP3VQXLtfPHu1btyOHKyknnjY3GT0bcp2WQOXCkVCQwAtp3hc7cppRKVUokFBQW22JwQLqthKiUBq9Y8sjrZblMpNfUWXt2YTr+IYMb26mCXbQj7a3GBK6UCgFXAfVrr36xUr7VepLUerLUeHBoa2tLNCeHyItr58dDlPdmaWsDHO3Psso2Pdhwlt7iKB8bHopSMvs2qRQWulPKkobz/rbVebZtIQojpw7sxtHs7/vbFAY6XVNv0uavrLPxzUzpDItsyKibEps8tHKslR6EoYDFwUGu90HaRhBBubornpyZQZ7Hy2Ce2nUp57+cj5JfV8MCEOBl9m1xLRuAXA9OBMUqpPY1/rrBRLiFavcgQf/48IY6Nh/L5dE+eTZ6zoqaeN7/N4OLo9gyPam+T5xTGafaCv1rr7wH58S2EHc26uDtfJR/jyc/3MyK6PR0CfVr0fMt/yqKwvJa3xsfZKKEwkpyJKYQTc3dTPD+tH5W1Fh5fs79FUyll1XUs2prJZXGhDOrW1oYphVGkwIVwctEdApg3PpZv9h/ny+RjzX6eJd9nUVxZxzwZfbsMKXAhTODWkd3p1yWIxz/dz8nymgv++uLKWt75LpOJfToS3yXIDgmFEaTAhTABD3c3FlzXj/Lqep74bP8Ff/3b32VSXlvP/eNj7ZBOGEUKXAiTiO0YyL1jo/ki6Rjf7Dve5K87WV7D0h+yuDK+Mz07tbFjQuFoUuBCmMjtl/agT1gb/mfNPk5V1Dbpa978NoPqOgv3jZPRt6uRAhfCRDzd3VgwrR/FlbU89cWB8z4+v7Sad386wuQB4UR3CHBAQuFIUuBCmEzvsDbcdVk0n+zOZePBE+d87Oub07FYNXPHxjgonXAkKXAhTOiuy6Lp2SmQRz9JpqSq7oyPyS2u4v3tR7lucBe6tfd3cELhCFLgQpiQl0fDVEpheS1/P8tUymub0gC4e4yMvl2VFLgQJhXfJYjbL4ni4505fJv667X2s09W8nFiDjcOjSA82NeghMLepMCFMLF7x8YQ3SGAR1YlUVb9/1Mpr2xMw91Ncddl0QamE/YmBS6Eifl4urNgWgLHS6t55utDAKTnl/PJ7hymD+9GhzYtW/xKOLdmr0YohHAOA7q25dZRUSzamsm6/ccpLK9FAd1C/IyOJuxMRuBCuICYDgEooLC84eQeDTz95SHW7M41NJewLylwIVzAyxvSOH2h2ao6CwvWphiSRziGFLgQLiCvuOqC7heuQQpcCBcQdpZDBc92v3ANUuBCuID5E+Pw9XT/1X2+nu7MnygXb3BlchSKEC5g8oBwABasTSGvuIqwYF/mT4z7v/uFa5ICF8JFTB4QLoXdysgUihBCmJQUuBBCmJQUuBBCmJQUuBBCmJQUuBBCmJTS+vQTcO24MaUKgCPN/PIQoNCGcYzkKvviKvsBsi/OylX2paX70U1rHXr6nQ4t8JZQSiVqrQcbncMWXGVfXGU/QPbFWbnKvthrP2QKRQghTEoKXAghTMpMBb7I6AA25Cr74ir7AbIvzspV9sUu+2GaOXAhhBC/ZqYRuBBCiF+QAhdCCJNyugJXSl2ulEpRSqUrpR4+w+e9lVIfNn5+m1Iq0oCY59WE/ZiplCpQSu1p/HOrETmbQim1RCmVr5Tad5bPK6XUq437mqSUGujojE3RhP0YrZQq+cVr8rijMzaVUipCKbVZKXVAKbVfKTX3DI9x+telifthitdFKeWjlNqulNrbuC9/PcNjbNtfWmun+QO4AxlAFOAF7AV6n/aYPwFvNt6+AfjQ6NzN3I+ZwGtGZ23i/lwCDAT2neXzVwBfAwoYDmwzOnMz92M08IXROZu4L52BgY23A4HUM3yPOf3r0sT9MMXr0vjvHNB42xPYBgw/7TE27S9nG4EPBdK11pla61rgA+Ca0x5zDbC88fZKYKxSSjkwY1M0ZT9MQ2u9FSg6x0OuAd7VDX4GgpVSnR2TrumasB+mobU+prXe1Xi7DDgInL4YuNO/Lk3cD1No/Hcub/zQs/HP6UeJ2LS/nK3Aw4Gjv/g4h9++mP/3GK11PVACtHdIuqZryn4ATG381XalUirCMdHsoqn7awYXNf4K/LVSqo/RYZqi8dfwATSM+H7JVK/LOfYDTPK6KKXclVJ7gHxgvdb6rK+JLfrL2Qq8NfkciNRaJwDr+f+fysI4u2hYc6If8E9gjbFxzk8pFQCsAu7TWpcanae5zrMfpnldtNYWrXV/oAswVCnV157bc7YCzwV+ORLt0njfGR+jlPIAgoCTDknXdOfdD631Sa11TeOH7wCDHJTNHpryujk9rXXpf38F1lp/BXgqpUIMjnVWSilPGkrv31rr1Wd4iClel/Pth9leFwCtdTGwGbj8tE/ZtL+crcB3ADFKqe5KKS8aJvk/O+0xnwEzGm9PAzbpxncEnMh59+O0uciraZj7M6vPgFsaj3oYDpRorY8ZHepCKaU6/Xc+Uik1lIb/H842OAAajjABFgMHtdYLz/Iwp39dmrIfZnldlFKhSqngxtu+wHjg0GkPs2l/OdVFjbXW9Uqpu4G1NBzJsURrvV8p9RSQqLX+jIYXe4VSKp2GN6RuMC7xmTVxP+5VSl0N1NOwHzMNC3weSqn3aTgSIEQplQM8QcMbNGit3wS+ouGIh3SgEphlTNJza8J+TAPuVErVA1XADU44OPivi4HpQHLjnCvAo0BXMNXr0pT9MMvr0hlYrpRyp+GHzEda6y/s2V9yKr0QQpiUs02hCCGEaCIpcCGEMCkpcCGEMCkpcCGEMCkpcCGEMCkpcCGEMCkpcCGEMKn/BRQpG4grxi+5AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ypoints = np.array([3, 8, 1, 10])\n",
    "\n",
    "plt.plot(ypoints, marker = 'o')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "501d21ba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x10ec7408>]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 用星星标记每个点\n",
    "plt.plot(ypoints, marker = '*')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e4038b56",
   "metadata": {},
   "source": [
    "# 标记参考\n",
    "您可以选择以下任何标记：\n",
    "<table>\n",
    "<tbody>\n",
    "<tr>\n",
    "<th>Marker</th>\n",
    "<th>Description</th>\n",
    "<th>Marker</th>\n",
    "<th>Description</th>\n",
    "<th>Marker</th>\n",
    "<th>Description</th>\n",
    "<th>Marker</th>\n",
    "<th>Description</th>\n",
    "<th>Marker</th>\n",
    "<th>Description</th>\n",
    "<th>Marker</th>\n",
    "<th>Description</th>\n",
    "</tr>\n",
    "<tr>\n",
    "<td>'o'</td>\n",
    "<td>Circle</td>\n",
    "<td>'*'</td>\n",
    "<td>Star</td>\n",
    "<td>'.'</td>\n",
    "<td>Point</td>\n",
    "<td>','</td>\n",
    "<td>Pixel</td>\n",
    "<td>'x'</td>\n",
    "<td>X</td>\n",
    "<td>'X'</td>\n",
    "<td>X (filled)</td>\n",
    "</tr>\n",
    "<tr>\n",
    "<td>'+'</td>\n",
    "<td>Plus</td>\n",
    "<td>'P'</td>\n",
    "<td>Plus (filled)</td>\n",
    "<td>'s'</td>\n",
    "<td>Square</td>\n",
    "<td>'D'</td>\n",
    "<td>Diamond</td>\n",
    "<td>'d'</td>\n",
    "<td>Diamond (thin)</td>\n",
    "<td>'p'</td>\n",
    "<td>Pentagon</td>\n",
    "</tr>\n",
    "<tr>\n",
    "<td>'H'</td>\n",
    "<td>Hexagon</td>\n",
    "<td>'h'</td>\n",
    "<td>Hexagon</td>\n",
    "<td>'v'</td>\n",
    "<td>Triangle Down</td>\n",
    "<td>'^'</td>\n",
    "<td>Triangle Up</td>\n",
    "<td>'&lt;'</td>\n",
    "<td>Triangle Left</td>\n",
    "<td>'&gt;'</td>\n",
    "<td>Triangle Right</td>\n",
    "</tr>\n",
    "<tr>\n",
    "<td>'1'</td>\n",
    "<td>Tri Down</td>\n",
    "<td>'2'</td>\n",
    "<td>Tri Up</td>\n",
    "<td>'3'</td>\n",
    "<td>Tri Left</td>\n",
    "<td>'4'</td>\n",
    "<td>Tri Right</td>\n",
    "<td>'|'</td>\n",
    "<td>Vline</td>\n",
    "<td>'_'</td>\n",
    "<td>Hline</td>\n",
    "</tr>\n",
    "</tbody>\n",
    "</table>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d2b590e5",
   "metadata": {},
   "source": [
    "# 线参考\n",
    "<table>\n",
    "<tbody>\n",
    "<tr>\n",
    "<th>Line Syntax</th>\n",
    "<th>Description</th>\n",
    "<th>Line Syntax</th>\n",
    "<th>Description</th>\n",
    "<th>Line Syntax</th>\n",
    "<th>Description</th>\n",
    "<th>Line Syntax</th>\n",
    "<th>Description</th>\n",
    "</tr>\n",
    "<tr>\n",
    "<td>'-'</td>\n",
    "<td>Solid line</td>\n",
    "<td>':'</td>\n",
    "<td>Dotted line</td>\n",
    "<td>'--'</td>\n",
    "<td>Dashed line</td>\n",
    "<td>'-.'</td>\n",
    "<td>Dashed/dotted line</td>\n",
    "</tr>\n",
    "</tbody>\n",
    "</table>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c69aa3bb",
   "metadata": {},
   "source": [
    "# 颜色参考\n",
    "<table>\n",
    "<tbody>\n",
    "<tr>\n",
    "<th>Color Syntax</th>\n",
    "<th>Description</th>\n",
    "<th>Color Syntax</th>\n",
    "<th>Description</th>\n",
    "<th>Color Syntax</th>\n",
    "<th>Description</th>\n",
    "<th>Color Syntax</th>\n",
    "<th>Description</th>\n",
    "</tr>\n",
    "<tr>\n",
    "<td>'r'</td>\n",
    "<td>Red</td>\n",
    "<td>'g'</td>\n",
    "<td>Green</td>\n",
    "<td>'b'</td>\n",
    "<td>Blue</td>\n",
    "<td>'c'</td>\n",
    "<td>Cyan</td>\n",
    "</tr>\n",
    "<tr>\n",
    "<td>'m'</td>\n",
    "<td>Magenta</td>\n",
    "<td>'y'</td>\n",
    "<td>Yellow</td>\n",
    "<td>'k'</td>\n",
    "<td>Black</td>\n",
    "<td>'w'</td>\n",
    "<td>White</td>\n",
    "</tr>\n",
    "</tbody>\n",
    "</table>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "70fa334b",
   "metadata": {},
   "source": [
    "# 格式化字符串 fmt\n",
    "您还可以使用快捷字符串符号参数来指定标记。\n",
    "\n",
    "此参数也称为 fmt，使用以下语法编写：\n",
    "\n",
    "marker | line | color"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4a22d164",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ypoints = np.array([3, 8, 1, 10])\n",
    "\n",
    "plt.plot(ypoints, 'o:r')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fa7dfc27",
   "metadata": {},
   "source": [
    "# 标记尺寸\n",
    "您可以使用关键字参数 markersize 或 ms 来设置标记的大小："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f2bd1525",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ypoints = np.array([3, 8, 1, 10])\n",
    "\n",
    "plt.plot(ypoints, marker = 'o', ms = 20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7ae8bc56",
   "metadata": {},
   "source": [
    "# 标记颜色"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "95ec573a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 使用关键字参数 markeredgecolor 或 mec 来设置标记边缘的颜色：\n",
    "ypoints = np.array([3, 8, 1, 10])\n",
    "\n",
    "plt.plot(ypoints, marker = 'o', ms = 20, mec = 'r')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "8e8a6d53",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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kkXaqxLAcwvkt23GM/JIqnnDS0TdIgTu99PwSpi/aRYCPBx/PHEhrb+Nv2vri+F609HTlqVXJmMxyx3phfWVVtby3OYPh3doy2IoXp9kbKXAnlnOmnHs+2oWriwtLZwyinV8LoyMBEOjryV9v6cne42dZ8JNMpQjrW7z9KIVl1TwxxvZnWRlJCtxJnS6t4t4FuyirruXjGQPpasHiVLZwS58OjOrRjte/TyWzoNToOMKJFFfW8OHWTK7rHkRs5zZGx7EpKXAnVFJZw7RFuzh5roKF0wYQ3cH+biqslOLvt/XC082FOauSMctUirCShT9lca6ihiea4BoHo0mBO5nKGhP3f5zIkdwS3ru7PwO62u8NFYL8WvDczT1JPHaGJfFHjY4jnMDZ8moW/JjF9T3bWWVVTXsnBe5Eak1mHlmxhx2ZRbw2qQ/XOsCFC7fHduSaqEDm/S+FY4VlRscRDu7DrZmUVtc2yRXG9kAK3EmYzZqnP9/P+kOn+OvN0dzqIOsdK6V4ZUJv3FwUf1otUymi8U6XVrFo21HGxXSge3v7mza0BSlwJ6C15u/fHGbV7hxmj4xg2jDbLk5lbcGtvJg7tgc7MotYvivb6DjCQb2/OYOqWhOPjYowOkqTkQJ3Av/enMFHP2UxdUgXh/3He+eATlwV0ZZ/fHOYnDPlRscRDuZUcSVLdxzjtn4hhAf6GB2nyUiBO7hPdmbz6ncpjO/bgedvbrrFqazt56kUgD9/vp+mvNm2cHzv/pCOyayZPdIxBzCNJQXuwNYl5zL3y/1cExXIawYsTmVtIW28efqmHvyYdppPE44bHUc4iJwz5azYlc2kuE50DvA2Ok6TkgJ3UD+mFfDYp3vo37kN793dH3cnucff3QM7MzjMn5fXHSb3XIXRcYQDeGdTOgrFI9d1MzpKk3OO//XNzJ7sMzy4dDfhgT4smDYALw9XoyNZjYuLYt7tfag1a5lKEVd0rLCMlbtz+N2gznRo7WV0nCYnBe5gUk+VMH1xAm19PPl4xkBaebkbHcnqOgd4M+eGKDanFLA66YTRcYQde2tjGm4uit9fE250FENIgTuQ40XlTFmwE3dXF5bNHESQnSxOZQtTh3QlrksbXvz6IKeKK42OI+xQen4pX+45wb1Dujj1/4XLkQJ3EAUlVUxZsJOKahNLZw50+jdrXFwU8ybGUFVrZu4XB2QqRfzGmxtSaeHuykMjmufoG6TAHUJxZQ1TF+4ir7iSRdMHNJurzMICfXhyTCQbDp9izb6TRscRduRwbjFrk3OZPqwrAT6eRscxjBS4nausMXHfkkRST5Xw/j396d/FfhensoWZw8Po26k1f11zkIKSKqPjCDsxf30qvp5u3H9VmNFRDGVRgSulWiulVimljiilDiulhlgrmIAak5mHP0ki4WgRr9/Rh2ui7H9xKmtzdVG8OjGGsioTz685YHQcYQf255zj+0OnuO+qMLu4w5SRLB2BvwX8T2vdHegDHLY8koDzi1P9aVUyGw7n8+ItPRnf1zEWp7KFiHa+zB4VwTf78/hmf67RcYTBXl+fQmtvd2YM72p0FMM1usCVUq2Aq4EFAFrraq31WSvlata01ry07jCf7znBE6MjmTKkq9GRDPfg1WH07tiKv3x5gKKyaqPjCIPsPnaGzSkFPHh1OL4tnO8U2oayZAQeChQAi5RSe5RSHymlfnPfLqXUA0qpRKVUYkFBgQW7az7e/SGdhduymDa0a7O8uuxi3FxdeHVSDMWVNfx1zUGj4wiDvLE+hbY+Hkwd2sXoKHbBkgJ3A2KB97TW/YAy4OkLH6S1/lBrHae1jgsMDLRgd83D0h3HeO37VG7r15HnxkU77OJUttC9vR8PXxvBmn0n+f5gntFxRBOLzyhkW3ohD40Ix9vDzeg4dsGSAs8BcrTWO+v+vIrzhS4a6et9J3nuqwOM7B7EvIkxDr84lS38/tpwegT7MffLA5wtl6mU5kJrzRvrU2jn58k9g2X0/bNGF7jWOg84rpSKqvvUSOCQVVI1Q1tSC3jis70M6OLPu3fHOs3iVNbm7urCqxNjOFNWzYtr5Z9bc7E17TQJR8/w8LXdaOHuPGv/WMrSlngEWK6USgb6An+3OFEztPvYGR5auptuQb78Z2qc/AO9gl4dWzHrmnA+TzrBpiOnjI4jbExrzRvfp9CxtRd3DOhkdBy7YlGBa6331s1vx2itb9Van7FWsOYiJa+EGYsTaOfnvItT2cLD13Ujsp0Pz3x+gOLKGqPjCBvaeDiffTnneHRkNzzdZHDzS/JzuoF+XpyqhbsLS2cOItC3+V4S3FCebq68OrEP+SWVvLxWLj9wVmaz5vX1qXQJ8GZCbIjRceyOFLhB8ksquWfBTqpqzXw8YxCd/J17cSpb6NOpNQ9cHc6nicfZmiqnqDqj/x3M43BuMY+NipD3hS5C/kYMcK6ihqkLE8gvrmLhtAFEtfc1OpLDemxUBOGBLfnz5/sprao1Oo6wIpNZ88b6VLoF+XBLn+Z7JfLlSIE3sYpqE/ctSSA9v4T3p/Snf5c2RkdyaC3cXZk3sQ8nz1Xwj29lKsWZfL3vJOn5pTw+KhJXOaX2oqTAm1CNycwfPkki8dgZ3rijLyMi5cIma+jfpQ0zhoWybEc22zNOGx1HWEGtycybG1Lp3t6XG3u1NzqO3ZICbyJms2bOqmQ2Hcnnb+N7cXOfDkZHcip/HBNF1wBvnl69n/JqmUpxdJ8nneBoYTlPjI6UC9ouQwq8CWiteXHtIb7Yc4I/jomUK8lswMvDlX/eHkN2UTnz/pdidBxhgepaM29tTCMmpBWjo9sZHceuSYE3gX9tSmfx9qPMHB7KH66VxalsZVBYAFOHdGFJ/FESjhYZHUc00meJxzlxtoInRkfKWkBXIAVuY0vjj/LG+lRujw1h7k095B+kjc25oTshbbyYsyqZimqT0XFEA1XWmHhnUzpxXdrIe0T1IAVuQ1/tPcFzaw4yqkc7/nl7b5nLawItPd3454QYsk6X8cZ6mUpxNJ/szCavuJInxsjouz6kwG3kh5R8nvxsHwO6+vPO7/rhJhchNJmh3dryu0GdWfBTFknZsrqDoyivruXfm9MZEhbA0PC2RsdxCNIqNrD7WBGzlu0mqr0vH8niVIb4843dae/XgqdW7qOyRqZSHMHH8cc4XVrNk2MijY7iMKTArexwbjHTFyUQ3MqLJTMG4ie3fTKEbwt3Xrk9hoyCMt7amGZ0HHEFJZU1fLAlgxGRgcR19Tc6jsOQArei7MJy7l24C28PN5bOHEhbH1mcykgjIgO5Iy6ED7dmkpxz1ug44jIWbTvKmfIanhgto++GkAK3kvzi84tT1ZjMLJ05kJA2sjiVPZg7Npq2Ph48tTKZqlqZSrFH58pr+M+PmYyObkefTq2NjuNQpMCt4Fx5Dfcu3MXp0ioWTRtARDtZnMpetPJy55UJvUk5VcK7m9KNjiMu4j8/ZlJSWSuj70aQArdQRbWJmUsSyCgo5YMp/enXWRansjfXdW/HhH4d+ffmDA6ePGd0HPELRWXVLNqWxdiYYHoE+xkdx+FIgVugxmRm1vLd7M4+w1t39eOqCLnwwF49d3M0bVqen0qpMZmNjiPqfLAlg4oaE4+PijA6ikOSAm8ks1nzx5X72JxSwN9v681NvYONjiQuo7W3By/d2otDucW8vznD6DiC8zc1WRJ/lPF9O9ItSKYdG0MKvBG01rzw9UG+2nuSOTdEMXlgZ6MjiXq4vmd7xsUE8/amNFLySoyO0+z9+4cMakya2SNl9N1YUuCN8OaGNJbEH+P+q0KZNSLc6DiiAV64pSd+Ldx5atU+amUqxTAnz1bwyc5sJsaG0LVtS6PjOCwp8AZavC2LtzamMal/CM/I4lQOJ8DHkxfG9yQ55xz/+THL6DjN1js/pKPRPDJSVue0hBR4A3y55wR//foQY6Lb8cqE3lLeDmps72Bu6Nme+RtSSc8vNTpOs3O8qJzPEo5z14DOcr2EhaTA62nTkVP8ceU+Bof58/ZkWZzKkSml+NutvfD2cOWpVfswmbXRkZqVtzam4eKiZG18K5AWqoeEo0XMWpZEj2A//nOvLE7lDAJ9PfnrzT3Zk32WRdtkKqWpZBaU8nlSDlMGd6F9qxZGx3F4UuBXcOhkMTMWJ9CxtReLpw/AVxanchrj+3ZgVI8gXv0uhazTZUbHaRbe3JCGp5srs66RN/+tQQr8Mo6eLuPehbvw8XRj6X2DCJDFqZyKUoqXb+uNp5sLf1qVjFmmUmwqJa+Er5NPMm1YV1nozUqkwC/hVN3iVCbz+cWpOrb2MjqSsIF2fi34y7hodh0t4uP4o0bHcWpvbkilpYcbD1wVZnQUpyEFfhFny6u5d8EuzpRVs3j6QLlKzMlN7B/CNVGB/PN/KWQXlhsdxykdOHGObw/kMWN4KG1aehgdx2lIgV+gvLqWGYsTyDpdxof3xsnyls2AUoq/39YbVxfFn1bLVIotzF+fSisvd2YODzU6ilORAv+F6lozDy1LYu/xs7w9uS/Dusl9+ZqLDq29mDu2B/GZhaxIyDY6jlPZk32GjUfyeeDqMFp5yUkA1iQFXsdk1jzx2V62phbwyoTe3NBLFqdqbu4a0Inh3dryyjdHOHG2wug4TuON9an4t/Rg2tCuRkdxOlLgnF+c6vk1B1ibnMvTN3bnzgGyOFVzpJTilQm9MWvN06uT0VqmUiy1M7OQH9NOM2tEOC093YyO43SkwDk/P7dsRzYPjgjjIVmcqlnr5O/Nn2/szo9pp1mZmGN0HIemteb19akE+npyz+AuRsdxSs2+wBf+lMXbm9K5M64TT9/Q3eg4wg7cPagLg0L9+du6Q+SdqzQ6jsPall7IrqwiHr62G14ecvWyLVhc4EopV6XUHqXUWmsEakqfJ+Xw4tpD3NCzPS/f1ksWpxIAuLgo/nl7DDUmM898sV+mUhrh/Og7hQ6tWnDXwE5Gx3Fa1hiBzwYOW2E7TWrDoVM8tSqZoeEBvHlXX1mcSvxK17Yteer67mw6ks8Xe04YHcfh/JCSz57sszx8XQSebjL6thWLWkspFQKMBT6yTpymsTOzkD98kkTPDn58KItTiUuYNrQr/bu04YWvD5FfLFMp9aW15vXvU+ns782kuBCj4zg1S4edbwJzgEve2kQp9YBSKlEplVhQUGDh7ix34MQ57luSSEgbLxZPH4iPvDMuLsHVRTFvYgyVNSae/fKATKXU03cH8zh4sphHR0bgLj/Z2lSj/3aVUuOAfK317ss9Tmv9odY6TmsdFxho7F3bs06XMW3RLnxbuLF05iD85ZJecQXhgT48MTqS7w+d4uvkXKPj2D2zWTN/fRphgS25tW8Ho+M4PUu+PQ4DblFKHQX+C1ynlFpmlVQ2kHeukns+2olZw9L7BtFBFqcS9XTfVWH06dSa5786wOnSKqPj2LW1+3NJOVXCY6Mi5X2lJtDov2Gt9Z+11iFa667AXcAmrfU9VktmRWfLq5myYCdny6tZMn0g4YE+RkcSDsTVRfHaxBjKqkw8/9VBo+PYrVqTmTfXpxLVzpdxveVK5qbg9N8iy6pqmbYogWNF5fxnahy9Q1oZHUk4oIh2vsweFcG6/bl8u1+mUi7my70nyTxdxuOjI3FxkVNym4JVClxrvVlrPc4a27KmqloTDy3bTXLOWf41uR9Dw2VxKtF4D1wdRq+OfvzlqwMUlVUbHceu1JjMvLUxlV4d/bi+Zzuj4zQbTjsCN5k1T3y6jx/TTvOP22O4vmd7oyMJB+fu6sKrE/twrqKGF7+WqZRfWpmYw/GiCp4cHSUXxDUhpyxwrTV/+eoA6/bnMvemHtwRJ1eCCevoEezHH67txpd7T7Lh0Cmj49iFyhoT/9qURr/OrbkmytgzzZobpyzw175P4ZOd2cy6Jpz7r5bbNwnr+v013eje3pdnvtjPufIao+MY7r+7ssk9VymjbwM4XYF/9GMm7/6QweSBnZhzfZTRcYQT8nBz4bVJfSgsq+Zv6w4ZHcdQFdUm3t2cwaBQf4Z1CzA6TrPjVAW+ancOL607zE292/PSrb1lNCBsplfHVswaEc6q3Tn8kJJvdBzDLNtxjIKSKp4cI6NvIzhNgX9/MI8/rU5meLe2zL+zL65yGpOwsUdGdiOynQ/PfL6f4srmN5VSWlXLe1syuCqiLQND/Y2O0yzZ7UIgR/KK+WxbBkkpuaSWmCjXLngrM5G+rsRGBXPHsHC6t/cDID6jkIdX7KFXx1Z8MKW/rH4mmoSnmyvzJvZhwr+38co3h3llQozRkZrUku1HKSqr5skxMlVpFLsr8OzCcuYuiyctp4g7EtbydGYSPfKz8K0qp8TTm8NBoWwPj2XajnFEhAQwdXRPHvt0L539vVk8bYDctkk0qb6dWnP/VWF8sDWTsb07MDyieVxrcK6ihg+2ZDCyexB9O7U2Ok6zpZpyhbW4uDidmJh4ya+vSz7JsysSmLVlOTN2rMZNX3KRQ2pcXFk4aAJvDrkLr1Y+rJt9FcGtZH0T0fQqa0zc9NaPVNWa+e7xq5vFCpdvrE/l7Y1prH1kOL06ytXNtqaU2q21jrvw83YzB74u+SQvLN3O8gWP80D8ysuWN4C72cSD8StZvfSPuBYXk3TsTBMlFeLXWri78uqkGE6eq+Cf3x4xOo7NnSmrZuFPWdzYq72Ut8HsosCzC8t5dkUCi5fMIbogq0HPjS7IYsnHc3h2RQLHi8ptlFCIy+vfxZ/pQ0NZuuMY8RmFRsexqQ+2ZlJWXcvjoyONjtLs2UWBz10Wz6wtyxtc3j+LLsjioS3LeWbpDisnE6L+nro+ii4B3vxpdTLl1bVGx7GJgpIqlmw/yi19OhDZztfoOM2e4QV+OLeYtJwiZuxYbdF2Zu5YTWpOIUfyiq2UTIiG8fJw5Z+3x5BdVM6r36UYHccm3tucQVWtidkjI4yOIrCDAl+5PYM7EtZecc77Sty0mTsT17JyW4aVkgnRcIPDArh3SBcWbz9K4tEio+NYVd65SpbtPMbtsSGEyZr6dsHwAk9KyWVoZpJVtjUkYw9JqbJWszDWn27oTsfWXsxZlUxljcnoOFbz7g/pmM2aR2X0bTcML/DUEhM98hs3932h6PxMUoqd5z+McEwtPd345+0xZJ4uY/76VKPjWEXOmXL+m5DNHQM60cnf2+g4oo7hBV6uXfCtss7ZIz7VFVRouYReGG9Yt7ZMHtiZ//yYyZ5sxz/F9V8b01FK8ch13YyOIn7B8AL3VmZKPK3zHb3Uwwsv1XQXJglxOc/c1J32fi2YsyqZqlrH/cnw6OkyViXl8LuBneViOTtjeIFH+rpyOCjUKts6FBRGlJ+sgyLsg28Ld165PYa0/FLe3phmdJxGe2tjGu6uit9fG250FHEBwws8NiqY7eGxVtlWfHg/YiPlbtjCfoyIDGRS/xDe35LJ/pxzRsdpsLRTJXy59wRTh3QlyLeF0XHEBQwv8ElDw/ksbhw1LpaNnGtcXPk0bhyThskoQdiXZ8dF09bHg6dW7aO61rLTZZvamxvS8HZ35cER8v/KHhle4D2C/YgI8WfRoAkWbWfhoAlEhgT83xKzQtiLVl7u/P223hzJK+HdH9KNjlNvh04Ws25/LjOGh+Lf0sPoOOIiDC9wgJfvGcJ7I+7mUGDj5sIPBoXy/oi7+fuUwVZOJoR1jOzRjlv7duDdH9I5dNIxrhaevyEV3xZu3Ddc7itrr+yiwDsHePPS5AFMmzqvwSV+MCiU6ffO46XJA+T8VGHXnr+5J629z0+l1Jjseypl3/GzrD90igeuCqOVt7vRccQl2EWBA4yN6cDzU4Zy98z5fDBkErXq8tFqXFz5YMgk7pkxn+enDGVsTIcmSipE47Rp6cFLt/bk4MliPthi30s+vLE+lTbe7kwfbp0zxIRt2NXK82NjOtC742jmtvdl4bBJ3Jm4liEZe4jOz8SnuoJSDy8OBYURH96PT+PGERkSwJopg2XkLRzGDb2CGRsTzNsb0xnTs71druiXeLSILakFPH1j92ZxcwpHZld35PmlI3nFrNyWQVJqLinFJiq0wktpovxciY0MZtIv7okphCMpLK1i9PytdGrjxepZQ3FztZsfhAGY/OEO0vJL2TrnGrw9pMDtwaXuyGO3r0739n785fZ+QD+jowhhVQE+nrxwS08eWbGHBT9l2dUpetvTTxOfWchz46KlvB2AfX3rF6KZGBcTzPU92/H6+lQyCkqNjgOA1prX16fS3q8FvxvU2eg4oh6kwIUwgFKKv93aC28PV+asSsZkNn4Nny2pBew+doaHr+tGC3dZksIRSIELYZAg3xY8f3M0u4+dYfH2o4Zm0VrzxvpUQtp4cUdcJ0OziPqTAhfCQLf27cjI7kG8+t0Rjp4uMyzH+kOnSM45x6MjI/Bwk1pwFPJKCWEgpRQv39Ybd1cX5qxOxmzAVIrZfH70Hdq2JRP6dWzy/YvGkwIXwmDtW7XgL+Oi2ZVVxLKdx5p8/98cyOVIXgmzR0bY3SmN4vLk1RLCDkzqH8LVkYH849sjHC+yzh2q6sNk1sxfn0pEkA8395GrmR1NowtcKdVJKfWDUuqQUuqgUmq2NYMJ0ZwopfjHhN64KMXTnyfTVBfYfbX3BBkFZTw+OhJXF7kdoaOxZAReCzyptY4GBgN/UEpFWyeWEM1Ph9ZePHNTD7alF7Ji13Gb76/GZOatjWlEB/txQ8/2Nt+fsL5GF7jWOldrnVT3cQlwGJB3QISwwOSBnRjWLYC/f3OYE2crbLqvz5NyOFZYzhOjI3GR0bdDssocuFKqK+eved95ka89oJRKVEolFhQUWGN3Qjit81MpMZi15s+f77fZVEpVrYm3N6bTp1NrRvYIssk+hO1ZXOBKKR9gNfCY1vo3K9VrrT/UWsdpreMCAwMt3Z0QTq+Tvzd/uqE7W1MLWLk7xyb7+CzhOCfOVvDk6EiUktG3o7KowJVS7pwv7+Va68+tE0kIMWVwFwaG+vO3tYfIO1dp1W1X1pj416Z0BnRtw1URba26bdG0LDkLRQELgMNa6zesF0kI4eKimHd7DDUmM3O/sO5UyrIdx8gvqeLJMVEy+nZwlozAhwFTgOuUUnvrft1kpVxCNHtd27bkj2Oi2Hgkn6/2nrTKNsuqanl/SwbDugUwOCzAKtsUxmn0gr9a658A+fYthA1NHxbKN/tz+evXBxnaLYAg3xYWbW9J/FFOl1bzwegoKyUURpIrMYWwY64uinkT+1BebeK5Lw9aNJVSUlnDh1szuTYqkP5d2lgxpTCKFLgQdq5bkA9PjI7kfwfzWLc/t9HbWfjTUc6W1/CEjL6dhhS4EA7gvuGh9AlpxXNfHaSwtKrBzz9bXs1HP2Zyfc929A5pZYOEwghS4EI4ADdXF16d1IfSylqeX3Owwc//z4+ZlFbX8vjoSBukE0aRAhfCQUS28+XRkd1Ym5zL/w7k1ft5haVVLNp2lLG9g+ne3s+GCUVTkwIXwoE8OCKcnh38ePbLA5wpq67Xc97fkkFljYnHRsno29k0+jRCIUTTc3d14dWJfbjlnZ94ce0h5t/ZlyN5xXy2LYOklFxSS0yUaxe8lZlIX1d6hAay6kABt/brSLcgH6PjCyuTAhfCwUR38OMP13bjrY1ppGflUVBYwh0Ja3k6M4ke+Vn4VpVT4unN4aBQfgqLxbvPjeQcdye7sJzOAd5GxxdWJAUuhAMKa9sSr9oqbvpyBffv+hw3bf7V11tVlTH4+AEGHz/A7B+Xs2jQBMafLuelyQMYGyN33nEWUuBCOJh1ySd5+ZN4Vn88h+iCrCs+3t1s4oH4lQxPT2Ra7TyYMlRK3EnIm5hCOJDswnKeXZHA4iX1K+9fii7IYvGSOTy7IqFJ77spbEcKXAgHMndZPLO2LG9wef8suiCLh7Ys55mlO6ycTBhBClwIB3E4t5i0nCJm7Fht0XZm7lhNak4hR/J+c/8V4WCkwIVwECu3Z3BHwtrfvGHZUG7azJ2Ja1m5LcNKyYRRpMCFcBBJKbkMzUyyyraGZOwhKbXxC2MJ+yAFLoSDSC0x0SO/cXPfF4rOzySl2GSVbQnjSIEL4SDKtQu+VdY5e8SnuoIKLfdjcXRS4EI4CG9lpsTTOldSlnp44aWsd59NYQwpcCEcRKSvK4eDQq2yrUNBYUT5uVplW8I4UuBCOIjYqGC2h8daZVvx4f2IjQy2yraEcaTAhXAQk4aG81ncOGpcLBs517i48mncOCYNC7dSMmEUKXAhHESPYD8iQvxZNGiCRdtZOGgCkSEBcnMHJyCLWQnhQF6+Zwjj80oZnp7YqMvpDwaF8v6Iu1kzZbAN0ommJiNwIRxI5wBvXpo8gGlT53EosGFvaB4MCmX6vfN4afIAOvnLuuDOQEbgQjiYsTEdYMpQ7nabz0NbljNzx+rLXl5f4+LKwkETeH/E3bIeuJORAhfCAY2N6UDvjqOZ296XhcMmcWfiWoZk7CE6PxOf6gpKPbw4FBRGfHg/Po0bR2RIAGumDJaRt5NRWjfdyfxKqQLgWCOf3hY4bcU4RnKWY3GW4wAHPhbl7unl5uUX6Orewtfs5u4JLgrM2qW2pspUU1lSW1FcoGuqKozO2UgO+7pcwNLj6KK1Drzwk01a4JZQSiVqreOMzmENznIsznIcIMdir5zlWGx1HPImphBCOCgpcCGEcFCOVOAfGh3AipzlWJzlOECOxV45y7HY5DgcZg5cCCHErznSCFwIIcQvSIELIYSDsrsCV0rdoJRKUUqlK6WevsjXPZVSn9Z9fadSqqsBMa+oHscxTSlVoJTaW/frPiNy1odSaqFSKl8pdeASX1dKqbfrjjVZKWWdNU+trB7HcY1S6twvXpPnmjpjfSmlOimlflBKHVJKHVRKzb7IY+z+danncTjE66KUaqGU2qWU2ld3LC9c5DHW7S+ttd38AlyBDCAM8AD2AdEXPOb3wPt1H98FfGp07kYexzTgHaOz1vN4rgZigQOX+PpNwLeAAgYDO43O3MjjuAZYa3TOeh5LMBBb97EvkHqRf2N2/7rU8zgc4nWp+3v2qfvYHdgJDL7gMVbtL3sbgQ8E0rXWmVrrauC/wPgLHjMeWFL38SpgpFLK3m7uV5/jcBha661A0WUeMh74WJ+3A2itlLK7uwXU4zgchtY6V2udVPdxCXAY6HjBw+z+danncTiEur/n0ro/utf9uvAsEav2l70VeEfg+C/+nMNvX8z/e4zWuhY4BwQ0Sbr6q89xANxe96PtKqVUp6aJZhP1PV5HMKTuR+BvlVI9jQ5TH3U/hvfj/IjvlxzqdbnMcYCDvC5KKVel1F4gH1ivtb7ka2KN/rK3Am9Ovga6aq1jgPX8/+/KwjhJnF9zog/wL+BLY+NcmVLKB1gNPKa1LjY6T2Nd4Tgc5nXRWpu01n2BEGCgUqqXLfdnbwV+AvjlSDSk7nMXfYxSyg1oBRQ2Sbr6u+JxaK0LtdZVdX/8COjfRNlsoT6vm93TWhf//COw1vobwF0p1dbgWJeklHLnfOkt11p/fpGHOMTrcqXjcLTXBUBrfRb4Abjhgi9Ztb/srcATgAilVKhSyoPzk/xrLnjMGmBq3ccTgU267h0BO3LF47hgLvIWzs/9Oao1wL11Zz0MBs5prXONDtVQSqn2P89HKqUGcv7/h70NDoDzZ5gAC4DDWus3LvEwu39d6nMcjvK6KKUClVKt6z72AkYDRy54mFX7y67WA9da1yqlHga+4/yZHAu11geVUi8CiVrrNZx/sZcqpdI5/4bUXcYlvrh6HsejSqlbgFrOH8c0wwJfgVJqBefPBGirlMoBnuf8GzRord8HvuH8GQ/pQDkw3Zikl1eP45gIzFJK1QIVwF12ODj42TBgCrC/bs4V4BmgMzjU61Kf43CU1yUYWKKUcuX8N5nPtNZrbdlfcim9EEI4KHubQhFCCFFPUuBCCOGgpMCFEMJBSYELIYSDkgIXQggHJQUuhBAOSgpcCCEc1P8Dhndm56jRjGMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 关键字参数 markerfacecolor 或较短的 mfc 来设置标记边缘内的颜色：\n",
    "ypoints = np.array([3, 8, 1, 10])\n",
    "\n",
    "plt.plot(ypoints, marker = 'o', ms = 20, mfc = 'r')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "296e4bac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ypoints = np.array([3, 8, 1, 10])\n",
    "\n",
    "plt.plot(ypoints, marker = 'o', ms = 20, mec = 'r', mfc = 'r')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "f910e76c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x6c2df88>]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 您还可以使用十六进制颜色值：\n",
    "plt.plot(ypoints, marker = 'o', ms = 20, mec = '#4CAF50', mfc = '#4CAF50')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "8ae9346e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x5807248>]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 140 种支持的颜色名称中的任何一种。\n",
    "plt.plot(ypoints, marker = 'o', ms = 20, mec = 'hotpink', mfc = 'hotpink')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
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